Information Systems Journal Statistics

This page has graphs which are dynamically created from the Index to show statistics on Data Mining and Knowledge Discovery

Data Mining and Knowledge Discovery (DMKD) [Entry Reviewed: 2018-02-20]
|Subscription required |Not DEST Approved |On Scopus database |On Clarivate database |Not refereed according to Ulrichs |Not ranked by ACPHIS |[paper/ejournal] [instructions]

The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes:


  • Theory and Foundational Issues
  • Data Mining Methods
  • Algorithms for Data Mining
  • Knowledge Discovery Process
  • Application Issues.
SCImago Journal & Country Rank

Exits to Data Mining and Knowledge Discovery

Exits by Month Cumulative Exits


Country of Origin for Exits to
Data Mining and Knowledge Discovery

Information Sought at
Data Mining and Knowledge Discovery

Countries Reasons

This publication is edited by John Lamp who can be reached at This page was last updated on 9 August 2013. Individual entries were updated on the date shown against the entry. Although I will attempt to keep this information accurate, I can not guarantee the accuracy of the information provided. Copyright and Privacy information

This product includes GeoLite data created by MaxMind, available from